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Embedding Space Explorer

robert@barcik.training
Word embeddings represent words as points in a high-dimensional space, where semantically similar words are positioned close together. This 2D visualization shows how relationships between words are captured as geometric directions. For example, the vector from "man" to "king" is roughly the same as "woman" to "queen" — enabling arithmetic like king − man + woman ≈ queen. Click on any word to explore its neighbors, or try the vector arithmetic panel.
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